Civic learning and public leadership
Nonpartisan environments where learners practice policy judgment, institutional process, coalition-building, and public communication.
Statecraft Labs
You bring the curriculum, research model, competition guide, tabletop exercise, or organizational challenge. We map roles, incentives, information, and consequences into a browser-based experience people can learn by doing.
15+ years · 200,000+ students · 5,000+ simulation runs · 450+ universities · 20 countries
Most partners already have the hard foundation—subject-matter expertise, curricula, scoring systems, or years of institutional knowledge. What’s missing is the multiplayer architecture: differentiated roles, consequential decisions, collaboration under constraint, and evidence facilitators can review.
Typical starting points include Curriculum and standards, Tabletop exercises, Competition guides, Research models, Training scenarios, and Organizational workflows.
Source material → simulation blueprint → multiplayer system → facilitator tools → measurable experience
We work with subject-matter experts to identify roles, objectives, rules, incentives, constraints, private information, resources, and learning outcomes.
We translate those elements into decisions, dependencies, consequences, collaboration points, conflict, and scoring logic.
We develop participant and facilitator experiences, test scenario paths, pilot with real users, and refine against the agreed objectives.
We support deployment, facilitator training, reporting, and future modules while preserving a stable underlying platform.
Scope and schedule depend on complexity, content readiness, testing requirements, integrations, and deployment scale. Milestones are defined with each partner—not promised as a fixed timeline.
We draw from a mature multiplayer engine; each engagement uses only what the project actually needs.
Participants hold different goals, information, and constraints—so the experience behaves like an institution, not a shared worksheet.
Choices cascade across people through negotiation, scarce resources, coalitions, and a shared scenario state.
Action logs, scoring, and outcome reporting give instructors and program leads evidence without turning the sim into a black box.
Browser-based delivery, pacing, progression, and assessment depth follow the audience, schedule, and budget—not a one-size product checklist.
Nonpartisan environments where learners practice policy judgment, institutional process, coalition-building, and public communication.
Connected decision environments where information and resources move across roles—useful when separate trainings need to feel like one system.
Illustrative direction — not a published case study.
Long-horizon competition with political, economic, technological, and alliance tradeoffs—built from partner-defined assumptions, not claimed case studies.
Illustrative direction — not a published case study.
Continues Statecraft’s classroom work modeling domestic institutions, diplomacy, conflict, trade, and collective-action problems.
PUBLIC PROGRAM EXAMPLE · AMERICAN CIVIC EXPLORERS
American Civic Explorers is a grant-funded civic leadership program led by St. Edward’s University for middle and high school learners. Its role-based experience places participants in the executive branch, Congress, media, and advocacy roles, where they negotiate, respond to challenges, make policy choices, and build a civic progression through badges and ranks.
Program and educational content are led by St. Edward’s University and its partners.
Statecraft maps complex political and organizational networks into large branching decision structures. Machine-learning-assisted modeling can help organize the possibility space, while human-authored rules, partner-defined variables, and transparent effect calculations keep the experience aligned with its learning objectives and reviewable by facilitators.
Statecraft simulations are designed learning and decision environments. They are not presented as black-box predictors of real-world events.
The Statecraft Effect reported increased student engagement and academic honesty compared with non-Statecraft assignments and courses.
View ERIC recordAn implementation study reported positive student feedback and successful performance on selected assessments when Statecraft was used alongside traditional instruction and assessment.
View ERIC recordA controlled comparison found that students enjoyed and generally preferred Statecraft, while broad exam-performance gains were not demonstrated. The result reinforces the importance of thoughtful course integration and debriefing.
View ERIC recordAnalysis of student reflections found that participants connected political ideology with initial strategy, adaptation, and simulation outcomes. The study examined reflection and political attitudes rather than learning outcomes.
View ERIC recordPartners define the domain, source material, objectives, and required realism. Statecraft supplies simulation design, multiplayer architecture, development, testing, deployment, and platform support.
Custom ownership, hosting, and support terms are defined in each statement of work. Statecraft’s typical model allows partners to retain their pre-existing and project-specific educational content while Statecraft retains its software platform, reusable methods, and core technology.
Curricula, standards, competition guides, tabletop exercises, research frameworks, training scenarios, scoring systems, or documented organizational workflows.
No. Simulations can provide role-specific goals, private information, permissions, resources, and decision options while preserving a shared scenario state.
Yes, when designed for that purpose. Separate modules can share roles, incidents, information, resources, or outcomes through a later connected experience—planned in advance.
Custom ownership, hosting, and support terms are defined in each statement of work. Statecraft’s typical model allows partners to retain their pre-existing and project-specific educational content while Statecraft retains its software platform, reusable methods, and core technology.
Machine-learning-assisted tools may help structure complex possibility spaces. Outcomes remain grounded in authored rules, partner-defined variables, and reviewable effect calculations—not marketed as real-world prediction.
Timing depends on roles, scenarios, decision paths, integrations, content readiness, testing, and deployment scale. Milestones and acceptance criteria are set with each partner before development begins.
Universities, schools, nonprofits, foundations, associations, research centers, career programs, and public-sector organizations.
If you have a system people need to understand by making decisions inside it, we would like to hear about it.
Please do not submit classified, controlled, personally identifiable, or otherwise sensitive project information through this form.
Privacy: inquiries are used only to respond to your request and discuss project fit. Do not include sensitive personal data. Support: help@statecraftsims.com.